Volume 55, 2021Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
|Page(s)||S1207 - S1228|
|Published online||02 March 2021|
Service-oriented performance of inventory models with partial information on unimodal demand lead-time distributions
Research Group Logistics, Hasselt University, Diepenbeek, Belgium
* Corresponding author: firstname.lastname@example.org
Accepted: 9 March 2020
Facing uncertainty in demand, companies try to avoid stock-outs by holding safety inventories, depending on a pre-set customer service level. The knowledge of the demand distribution during lead-time serves to determine the safety inventory level. Many times the distribution is not fully known, except maybe for its range, mean or variance. However literature shows that the performance of holding safety stock strongly depends on the characteristics of the distribution. One option is to protect against the worst case distribution given some information like range or moments. But this worst case is a two-point distribution, bringing unbelief to managers that such an occurrence would ever appear. Mostly they share the opinion that the demand distribution is unimodal. This research develops a technique to derive the safety stock for unimodal demand distributions of which the mode either is known or can be estimated. In this way, the managers obtain solutions to the decision problem including a higher belief that the related type of distribution might appear in practice.
Mathematics Subject Classification: 90B05 / 90C05 / 60E10
Key words: Inventory management / linear programming / partial information / demand distribution
© EDP Sciences, ROADEF, SMAI 2021
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